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Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices
| Content Provider | MDPI |
|---|---|
| Author | Aldo-Francisco, Contreras-González Miguel, Ángel Sánchez-Urán Francisco, Javier Sáez-Sáez Ferre, Manuel Haro, Fernando Blaya |
| Copyright Year | 2020 |
| Description | Motion tracking techniques have been extensively studied in recent years. However, capturing movements of the upper limbs is a challenging task. This document presents the estimation of arm orientation and elbow and wrist position using wearable flexible sensors (WFSs). A study was developed to obtain the highest range of motion (ROM) of the shoulder with as few sensors as possible, and a method for estimating arm length and a calibration procedure was proposed. Performance was verified by comparing measurement of the shoulder joint angles obtained from commercial two-axis soft angular displacement sensors (sADS) from Bend Labs and from the ground truth system (GTS) OptiTrack. The global root-mean-square error (RMSE) for the shoulder angle is 2.93 degrees and 37.5 mm for the position estimation of the wrist in cyclical movements; this measure of RMSE was improved to 13.6 mm by implementing a gesture classifier. |
| Starting Page | 6452 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s20226452 |
| Journal | Sensors |
| Issue Number | 22 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-11-12 |
| Access Restriction | Open |
| Subject Keyword | Sensors Motion Capture Soft Angular Displacement Sensors Upper Limb Motion Tracking Wearable Sensors |
| Content Type | Text |
| Resource Type | Article |
